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UID:576@lincs.fr
DTSTART;TZID=Europe/Paris:20201209T140000
DTEND;TZID=Europe/Paris:20201209T150000
DTSTAMP:20201210T100227Z
URL:https://www.lincs.fr/events/on-the-deployability-of-augmented-reality-
 using-embedded-edge-devices/
SUMMARY:"On the deployability of Augmented Reality Using Embedded Edge
 Devices"
DESCRIPTION:\nEdge Computing exploits computational capabilities deployed
 at the very edge of the network to support applications with low latency
 requirements. Such capabilities can reside in small embedded devices that
 integrate dedicated hardware -- e.g.\, a GPU -- in a low cost package. But
 these devices have limited computing capabilities compared to standard
 server grade equipment.\nWhen deploying an Edge Computing based
 application\, understanding whether the available hardware can meet target
 requirements is key in meeting the expected performance.\n&nbsp\;\nIn this
 paper\, we study the feasibility of deploying Augmented Reality
 applications using Embedded Edge Devices (EEDs). We compare such deployment
 approach to one exploiting a standard dedicated server grade machine.
 Starting from an empirical evaluation of the capabilities of these
 devices\, we propose a simple theoretical model to compare the performance
 of the two approaches. We\nthen validate such model with NS-3 simulations
 and study their feasibility. Our results show that there is no one-fits-all
 solution. If we need to deploy high responsiveness applications\, we need a
 centralized server grade architecture and we can in any case only support
 very few users. The centralized architecture fails to serve a larger number
 of users\, even when low to mid responsiveness is required. In this case\,
 we need to resort instead to a distributed deployment based on
 EEDs.\n&nbsp\;\n\nAuthors: Ayoub BEN AMEUR\, Andrea ARALDO\, Francesco
 BRONZINO
CATEGORIES:Seminars,Youtube
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20201025T020000
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